AbstractThe brain is the characteristic of a complex structure. By representing brain function, measured with EEG, MEG, and fMRI, as an abstract network, methods for the study of complex systems can be applied. These network studies have revealed insights in the complex, yet organized, architecture that is evidently present in brain function. We will discuss some technical aspects of formation and assessment of the functional brain networks. Moreover, the results that have been reported in this respect in the last years, in healthy brains as well as in functional brain networks of subjects with a neurological or psychiatrical disease, will be reviewed
MEG and fMRI offer complementary insights into connected human brain function. Evidence from the use...
In recent years, the application of network analysis to neuroimaging data has provided useful insigh...
How rich functionality emerges from the invariant structural architecture of the brain remains a maj...
This contribution reviews the current state of art comprising the application of Complex Networks Th...
Considering the brain as a complex network of interacting dynamical systems offers new insights into...
Over the last two decades the field of network science has been evolving fast. Many useful applicati...
SummaryReal-world complex systems may be mathematically modeled as graphs, revealing properties of t...
Both at rest and during the executions of cognitive tasks, the brain continuously creates and resh...
Many physical and biological systems can be studied using complex network theory, a new statistical ...
International audiencePurpose of reviewDiffusion tractography and functional/effective connectivity ...
The brain is a paradigmatic example of a complex system: its functionality emerges as a global prope...
Since the discovery of small-world and scale-free networks the study of complex systems from a netwo...
0968-5243 (Electronic) 0968-5243 (Linking) Journal articleGraph theoretical analysis of structural a...
In the first study, functional brain networks are derived from magnetoencephalography (MEG) data fro...
International audienceThe brain can be regarded as a network: a connected system where nodes, or uni...
MEG and fMRI offer complementary insights into connected human brain function. Evidence from the use...
In recent years, the application of network analysis to neuroimaging data has provided useful insigh...
How rich functionality emerges from the invariant structural architecture of the brain remains a maj...
This contribution reviews the current state of art comprising the application of Complex Networks Th...
Considering the brain as a complex network of interacting dynamical systems offers new insights into...
Over the last two decades the field of network science has been evolving fast. Many useful applicati...
SummaryReal-world complex systems may be mathematically modeled as graphs, revealing properties of t...
Both at rest and during the executions of cognitive tasks, the brain continuously creates and resh...
Many physical and biological systems can be studied using complex network theory, a new statistical ...
International audiencePurpose of reviewDiffusion tractography and functional/effective connectivity ...
The brain is a paradigmatic example of a complex system: its functionality emerges as a global prope...
Since the discovery of small-world and scale-free networks the study of complex systems from a netwo...
0968-5243 (Electronic) 0968-5243 (Linking) Journal articleGraph theoretical analysis of structural a...
In the first study, functional brain networks are derived from magnetoencephalography (MEG) data fro...
International audienceThe brain can be regarded as a network: a connected system where nodes, or uni...
MEG and fMRI offer complementary insights into connected human brain function. Evidence from the use...
In recent years, the application of network analysis to neuroimaging data has provided useful insigh...
How rich functionality emerges from the invariant structural architecture of the brain remains a maj...